Optimizing predictive precision for actionable forecasts of revenue change
US11055730B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 5, 2017 |
| Grant date | Jul 6, 2021 |
| Priority date | — |
| Expiry date | Apr 10, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/126
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
One embodiment provides optimizing predictive precision for actionable forecasts of revenue change including receiving revenue data with timestamps for a number of historical periods at a particular level, with attributes of the particular level and a percentage of the required revenue change. The data is filtered. The filtered data is aggregated at the particular level for a selected prediction. A sliding window of the number of historical periods is moved over business periods, creating a data point for each historical period temporal window by extracting features. A required target output is created for each data point for at least one future time period. A model is trained to optimize predictive precision for actionable forecasts of revenue change. A set of recent histories is converted into a quantitative health value.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.